Abstract
Wordle, a popular word guessing game offered daily by The New York Times, has been widely loved and shared due to its straightforward rules and strong fun. This paper uses the ARIMA time series prediction model to predict future user number and then defines the word attribute by combining the word frequency and letter frequency through entropy weight method. To predict the percentage of tries in the future, we fit the percentage of tries with the word attribute from January 7, 2022 to December 31, 2022.This paper forecasts the number of Wordle users on March 1, 2023 and came up with a prediction of 16,458 users. Predicting the word “EERIE” on March 1, 2023 through fitting function and the corresponding percentage of tries is (0,13,35,33,14,2). This paper is instructive for setting the direction of future updates for Wordle as well as giving a forecast method for the future development of Wordle.
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